Package: python3-onnxruntime (1.19.2+dfsg-9 and others)

[ Source: onnxruntime  ]

cross-platform inference and training ML accelerator (Python bindings)

ONNX Runtime is a performance-focused complete scoring engine for Open Neural Network Exchange (ONNX) models, with an open extensible architecture to continually address the latest developments in AI and Deep Learning. ONNX Runtime stays up to date with the ONNX standard with complete implementation of all ONNX operators, and supports all ONNX releases (1.2+) with both future and backwards compatibility. Please refer to this page for ONNX opset compatibility details.

This package provides the onnxruntime Python bindings.

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• dep: libc6 (>= 2.38)

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• dep: libgcc-s1 (>= 4.0)

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• dep: libonnx1t64 (>= 1.17.0)

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• dep: libonnxruntime1.19.2 (= 1.19.2+dfsg-9+b1)

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• dep: libstdc++6 (>= 14)

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  dep: python3 (<< 3.14)

  dep: python3 (>= 3.13~)

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• dep: python3-flatbuffers

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• dep: python3-numpy

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Download python3-onnxruntime

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Architecture	Version	Package Size	Installed Size	Files
ppc64el	1.19.2+dfsg-9+b1	4,113.5 kB	20,655.0 kB	[list of files]